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» Fast semi-supervised image segmentation by novelty selection
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ICASSP
2010
IEEE
13 years 7 months ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
FIMH
2005
Springer
14 years 27 days ago
A Deterministic-Statistic Adventitia Detection in IVUS Images
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification...
Debora Gil, Aura Hernandez, Antoni Carol, Oriol Ro...
SCALESPACE
2007
Springer
14 years 1 months ago
Segmentation Under Occlusions Using Selective Shape Prior
In this work, we address the problem of segmenting multiple objects, under possible occlusions, in a level set framework. A variational energy that incorporates a piecewise constan...
Sheshadri Thiruvenkadam, Tony F. Chan, Byung-Woo H...
ICIP
2008
IEEE
14 years 1 months ago
A fast level set algorithm for shape-based segmentation with multiple selective priors
This paper addresses the shape-based segmentation problem using level sets. In particular, we propose a fast algorithm to solve the piece-wise constant Chan-Vese segmentation mode...
Rachid Fahmi, Aly A. Farag
CAIP
2003
Springer
133views Image Analysis» more  CAIP 2003»
14 years 18 days ago
Automatic Segmentation of Diatom Images
A general framework for automatic segmentation of diatom images is presented. This segmentation is a critical first step in contour-based methods for automatic identification of ...
Andrei Jalba, Jos B. T. M. Roerdink